Artificial intelligence (AI) has reached a point where generated images of faces depicting white people appear more authentic than real human faces, as revealed by recent research conducted by experts at The Australian National University (ANU). This study demonstrated a higher number of participants mistaking AI-generated white faces for real ones compared to real human faces, indicating a significant discrepancy among races.
Dr. Amy Dawel, the paper’s senior author, highlighted the root cause of this disparity, lying in the disproportionate training of AI algorithms on white faces, which can potentially perpetuate racial biases online. The impact extends to the use of AI technologies in creating professional headshots, as algorithms designed for white individuals may alter the appearance of people of color.
The study also identified a significant challenge associated with AI “hyper-realism” – individuals often fail to recognize when AI-generated images are deceiving them. Those who believed AI faces were real tended to be more confident in their judgments, indicating a lack of awareness when being misled.
The researchers delved into the reasons behind this phenomenon, discovering that there are still physical differences between AI and human faces. However, people tend to misinterpret these differences. For instance, white AI faces may exhibit more proportionality, leading individuals to mistake this as a sign of humanness. Dr. Dawel cautioned that these physical cues may not remain reliable for long as AI technology is evolving rapidly.
The researchers emphasized the potential repercussions of this trend, including the increased risk of misinformation and identity theft. They called for greater transparency around AI development, advocating for a broader understanding beyond tech companies to identify and address potential issues.
Furthermore, Dr. Dawel highlighted the importance of public awareness in mitigating the risks associated with AI technology. She expressed the need for tools to accurately identify AI imposters as a crucial step in navigating the evolving landscape of AI-generated content.
The findings of the research team were published in the journal Psychological Science.
From TechTimes.
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